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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Early Software Reliability Prediction: A Fuzzy Logic Approach

Early Software Reliability Prediction: A Fuzzy Logic Approach

Pandey, Ajeet Kumar
Goyal, Neeraj Kumar

Paperback

Series: Studies in Fuzziness and Soft Computing, Book 303

ApplicationsGeneral ComputersProgramming

ISBN10: 813221742X
ISBN13: 9788132217428
Publisher: Springer Nature
Published: Aug 7 2015
Pages: 153
Weight: 0.56
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
The development of software system with acceptable level of reliability and quality within available time frame and budget becomes a challenging objective. This objective could be achieved to some extent through early prediction of number of faults present in the software, which reduces the cost of development as it provides an opportunity to make early corrections during development process. The book presents an early software reliability prediction model that will help to grow the reliability of the software systems by monitoring it in each development phase, i.e. from requirement phase to testing phase. Different approaches are discussed in this book to tackle this challenging issue. An important approach presented in this book is a model to classify the modules into two categories (a) fault-prone and (b) not fault-prone. The methods presented in this book for assessing expected number of faults present in the software, assessing expected number of faults present at the end of each phase and classification of software modules in fault-prone or no fault-prone category are easy to understand, develop and use for any practitioner. The practitioners are expected to gain more information about their development process and product reliability, which can help to optimize the resources used.

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